Low-light remote sensing image enhancement method, device and equipment based on Retinex and storage medium
The invention discloses a low-light remote sensing image enhancement method based on Retinex, and the method comprises the steps: decomposing a to-be-enhanced low-light remote sensing image into a reflection image and an illumination image based on a Retinex theory, carrying out the feature extracti...
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| creator | YOON HONGUL YAO JIAN CHEN XUEYE LI LI LIU ZHAO JIANG YI |
| description | The invention discloses a low-light remote sensing image enhancement method based on Retinex, and the method comprises the steps: decomposing a to-be-enhanced low-light remote sensing image into a reflection image and an illumination image based on a Retinex theory, carrying out the feature extraction of the illumination image and the reflection image, and obtaining a reflection feature image and an illumination feature image; and fusing and reconstructing the reflection characteristic pattern and the illumination characteristic pattern to obtain a reconstructed illumination pattern and a reconstructed reflection pattern. Designing a neural network module to enhance and fuse the reconstructed illumination image and the reconstructed reflection image, fusing the enhanced reflection image and illumination image into a normal light image, and designing a local reconstruction neural network module to carry out local fine tuning on the normal light image to obtain a final enhanced image. The interpretability of th |
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Designing a neural network module to enhance and fuse the reconstructed illumination image and the reconstructed reflection image, fusing the enhanced reflection image and illumination image into a normal light image, and designing a local reconstruction neural network module to carry out local fine tuning on the normal light image to obtain a final enhanced image. 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Designing a neural network module to enhance and fuse the reconstructed illumination image and the reconstructed reflection image, fusing the enhanced reflection image and illumination image into a normal light image, and designing a local reconstruction neural network module to carry out local fine tuning on the normal light image to obtain a final enhanced image. 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Designing a neural network module to enhance and fuse the reconstructed illumination image and the reconstructed reflection image, fusing the enhanced reflection image and illumination image into a normal light image, and designing a local reconstruction neural network module to carry out local fine tuning on the normal light image to obtain a final enhanced image. The interpretability of th</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Low-light remote sensing image enhancement method, device and equipment based on Retinex and storage medium |
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